Secondary User Interference Characterization for Spatially Random Underlay Networks With Massive MIMO and Power Control

In an underlay (secondary) network, the receiver nodes are subject to both primary and intra-underlay interference. What are the characteristics of this interference when considering the use of massive multiple-input multiple-output (MIMO) systems with pilot contamination, path-loss-inversion power control, receiver association policies, spatially random nodes, and propagation characteristics with power-law path loss and Rayleigh fading? To answer this question, we derive the average and the moment generating function of the aggregate interference and its average due to both primary and underlay transmissions from nodes modeled as Poisson point processes and analyze how the interference impacts the outage performance of an underlay receiver. Our analysis considers all of the above factors and both single antenna type and massive MIMO base stations. We show that massive MIMO improves the outage performance, and a higher path loss exponent reduces the outage probability. This is in contrast to single antenna systems where a higher path loss exponent increases the outage. Furthermore, it is shown that the different node densities and power thresholds significantly affect the outage performance.

[1]  Xiqi Gao,et al.  Cellular architecture and key technologies for 5G wireless communication networks , 2014, IEEE Communications Magazine.

[2]  Hyundong Shin,et al.  Cognitive Network Interference- Modeling and Applications , 2011, 2011 IEEE International Conference on Communications (ICC).

[3]  Wuyang Zhou,et al.  Heterogeneous Cellular Network Models With Dependence , 2015, IEEE Journal on Selected Areas in Communications.

[4]  Tommy Svensson,et al.  The role of small cells, coordinated multipoint, and massive MIMO in 5G , 2014, IEEE Communications Magazine.

[5]  M. R. Leadbetter Poisson Processes , 2011, International Encyclopedia of Statistical Science.

[6]  Longxiang Yang,et al.  Study on energy efficiency of D2D underlay massive MIMO networks with power beacons , 2016, 2016 8th International Conference on Wireless Communications & Signal Processing (WCSP).

[7]  Ling Qiu,et al.  Area Spectral Efficiency Analysis and Energy Consumption Minimization in Multiantenna Poisson Distributed Networks , 2016, IEEE Transactions on Wireless Communications.

[8]  Sachitha Kusaladharma,et al.  Underlay Interference Analysis of Power Control and Receiver Association Schemes , 2016, IEEE Transactions on Vehicular Technology.

[9]  Sachitha Kusaladharma,et al.  Massive MIMO based underlay networks with power control , 2016, 2016 IEEE International Conference on Communications (ICC).

[10]  Z. Néda,et al.  On the size-distribution of Poisson Voronoi cells , 2004, cond-mat/0406116.

[11]  Shi Jin,et al.  Interference and Outage Probability Analysis for Massive MIMO Downlink with MF Precoding , 2016, IEEE Signal Processing Letters.

[12]  Yuan Li,et al.  Device-to-Device Underlaid Cellular Networks under Rician Fading Channels , 2014, IEEE Transactions on Wireless Communications.

[13]  Xianbin Wang,et al.  Probabilistic Analysis of Mutual Interference in Cognitive Radio Communications , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

[14]  Dmitri Moltchanov,et al.  Distance distributions in random networks , 2012, Ad Hoc Networks.

[15]  Giuseppe Caire,et al.  Performance Analysis of Massive MIMO for Cell-Boundary Users , 2013, IEEE Transactions on Wireless Communications.

[16]  Jing Wang,et al.  Cognitive radio in 5G: a perspective on energy-spectral efficiency trade-off , 2014, IEEE Communications Magazine.

[17]  Thomas L. Marzetta,et al.  Pilot Contamination and Precoding in Multi-Cell TDD Systems , 2009, IEEE Transactions on Wireless Communications.

[18]  Wan Choi,et al.  Coverage and Load Balancing in Heterogeneous Cellular Networks with Minimum Cell Separation , 2014, IEEE Transactions on Mobile Computing.

[19]  Markus Rupp,et al.  Mutual information based calculation of the Precoding Matrix Indicator for 3GPP UMTS/LTE , 2010, 2010 International ITG Workshop on Smart Antennas (WSA).

[20]  Marios Kountouris,et al.  HetNets and massive MIMO: Modeling, potential gains, and performance analysis , 2013, 2013 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC).

[21]  Martin Haenggi,et al.  Interference and Outage in Poisson Cognitive Networks , 2012, IEEE Transactions on Wireless Communications.

[22]  Chen Sun,et al.  Transmit Power Control for Cognitive Radio Over a Rayleigh Fading Channel , 2010, IEEE Transactions on Vehicular Technology.

[23]  Syed Ali Jafar,et al.  COGNITIVE RADIOS FOR DYNAMIC SPECTRUM ACCESS - The Throughput Potential of Cognitive Radio: A Theoretical Perspective , 2007, IEEE Communications Magazine.

[24]  Giuseppe Caire,et al.  Massive-MIMO Meets HetNet: Interference Coordination Through Spatial Blanking , 2014, IEEE Journal on Selected Areas in Communications.

[25]  Peter Han Joo Chong,et al.  Poisson Hole Process: Theory and Applications to Wireless Networks , 2016, IEEE Transactions on Wireless Communications.

[26]  Hai Jiang,et al.  Energy Detection for Spectrum Sensing in Cognitive Radio , 2014, SpringerBriefs in Computer Science.

[27]  AKHIL GUPTA,et al.  A Survey of 5G Network: Architecture and Emerging Technologies , 2015, IEEE Access.

[28]  Sachitha Kusaladharma,et al.  Aggregate Interference Analysis for Underlay Cognitive Radio Networks , 2012, IEEE Wireless Communications Letters.

[29]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[30]  Liuqing Yang,et al.  Dynamic TDD support in the LTE-B enhanced Local Area architecture , 2012, 2012 IEEE Globecom Workshops.

[31]  D. Stoyan,et al.  Stochastic Geometry and Its Applications , 1989 .

[32]  Zhifeng Zhao,et al.  Two-tier spatial modeling of base stations in cellular networks , 2014, 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC).

[33]  Sachitha Kusaladharma,et al.  On Approximating the Cognitive Radio Aggregate Interference} \IEEEaftertitletextvspace{-1\baselineskip , 2013, IEEE Wireless Communications Letters.

[34]  Xing Li,et al.  Stochastic geometric modeling and interference analysis for massive MIMO systems , 2013, 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt).

[35]  Jeffrey G. Andrews,et al.  User Association and Interference Management in Massive MIMO HetNets , 2015, IEEE Transactions on Communications.

[36]  Chintha Tellambura,et al.  Analysis of Aggregate Interference and Primary System Performance in Finite Area Cognitive Radio Networks , 2012, IEEE Transactions on Communications.

[37]  Emil Björnson,et al.  Energy efficiency and sum rate when massive MIMO meets device-to-device communication , 2015, 2015 IEEE International Conference on Communication Workshop (ICCW).

[38]  V. K. Bhargawa,et al.  Analysis of M-ary phase-shift keying with diversity reception for land-mobile satellite channels , 1997 .

[39]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[40]  Martin Haenggi,et al.  Stochastic Geometry for Wireless Networks , 2012 .

[41]  Jing Gao,et al.  Transmission capacity for overlaid wireless networks: A homogeneous primary network versus an inhomogeneous secondary network , 2013, 2013 International Conference on Communications, Circuits and Systems (ICCCAS).

[42]  Alberto Zanella,et al.  Interference Analysis in a Poisson Field of Nodes of Finite Area , 2009, IEEE Transactions on Vehicular Technology.

[43]  Adrian Baddeley,et al.  Spatial Point Processes and their Applications , 2007 .

[44]  Siddhartan Govindasamy Uplink performance of large optimum-combining antenna arrays in poisson-cell networks , 2014, 2014 IEEE International Conference on Communications (ICC).

[45]  Jeffrey G. Andrews,et al.  Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks , 2011, IEEE Journal on Selected Areas in Communications.

[46]  Cheng-Xiang Wang,et al.  Aggregate Interference Modeling in Cognitive Radio Networks with Power and Contention Control , 2012, IEEE Transactions on Communications.

[47]  Jeffrey G. Andrews,et al.  Analytical Modeling of Uplink Cellular Networks , 2012, IEEE Transactions on Wireless Communications.

[48]  I. M. Pyshik,et al.  Table of integrals, series, and products , 1965 .

[49]  Vijay K. Bhargava,et al.  Closed form and infinite series solutions for the MGF of a dual-diversity selection combiner output in bivariate Nakagami fading , 2003, IEEE Trans. Commun..

[50]  Chintha Tellambura,et al.  Evaluation of the exact union bound for trellis-coded modulations over fading channels , 1996, IEEE Trans. Commun..

[51]  Wei Zhang,et al.  Spectrum sharing with limited feedback in poisson cognitive network , 2014, 2014 IEEE International Conference on Communications (ICC).

[52]  Mounir Ghogho,et al.  Breaking the Area Spectral Efficiency Wall in Cognitive Underlay Networks , 2014, IEEE Journal on Selected Areas in Communications.

[53]  Weidong Wang,et al.  Base Station Density Bounded by Maximum Outage Probability in Massive MIMO System , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[54]  Sachitha Kusaladharma,et al.  Secondary User Interference Characterization for Underlay Networks , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[55]  Jeffrey G. Andrews,et al.  The Interplay Between Massive MIMO and Underlaid D2D Networking , 2014, IEEE Transactions on Wireless Communications.

[56]  Liuqing Yang,et al.  Dynamic TDD Support in Macrocell-Assisted Small Cell Architecture , 2015, IEEE Journal on Selected Areas in Communications.